28 parallel-processing-"UNIVERSITY-OF-MACAU" Postdoctoral positions at Iowa State University
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Position Title: Postdoctoral Research Associate in Electrical and Computer Engineering Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: The Department
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automated or high-throughput experimental systems (e.g., robotic solid/liquid handling, parallel reactor platforms). Experience with automated process control, data acquisition, and database integration
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environmental datasets, automated data processing and QA/QC procedures, and operation of environmental monitoring instrumentation and data acquisition systems. Preferred Qualifications: Experience with GIS
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regarding this application process, please email [email protected], or call 515-294-4800 or Toll Free: 1-877-477-7485. Proposed Start Date: December 2, 2026 Number of Months Employed Per Year: 12 Month
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and genetics, genomics, nutrition, physiology, meat science and meat processing, animal well-being and management. These programs and disciplinary focus areas include beef cattle, dairy cattle, horses
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and genetics, genomics, nutrition, physiology, meat science and meat processing, animal well-being and management. These programs and disciplinary focus areas include beef cattle, dairy cattle, horses
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electrochemical technologies through catalyst and electrode development, reactor design and optimization, and analytical evaluation of reaction products to enhance nitrate and nitric acid production processes
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experimental and on-farm datasets from corn and soybean production systems. Process and interpret drone-based and remote sensing imagery. Conduct APSIM simulation modeling and related analyses. Investigate
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. The research will emphasize synthesizing and characterizing various porous materials. The project further emphasizes mechanistic and kinetic studies for processes occurring at the reactive solid-liquid interface
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, implement, and manage climate chamber experiments under shade and other environmental stress conditions. Collect, process, and analyze seedling phenotypic data, including morphological, physiological, and